GitHub Copilot and Gemini Code Assist represent two different approaches to AI procurement. Copilot follows a standard SaaS tiering model, offering predictable monthly costs for individuals and customized quotes for organizations. This model favors budget stability and simplified seat management.
In contrast, Gemini Code Assist operates on an hourly rate, which can scale up or down based on engineering activity. For finance and procurement leaders, the choice depends on whether the organization prefers the fixed overhead of a subscription or the usage-based granularity of an hourly commitment.
Gemini Code Assist plans in detail
| Plan / rate |
Verified price |
Unit |
Notes |
| Gemini Code Assist — Standard |
$0.03 |
per hour |
Annual billing rate. 12-month commitment term. Subscriptions are billed monthly. |
| Gemini Code Assist — Standard |
$0.03 |
per hour |
Monthly billing rate. Monthly commitment term. Subscriptions are billed monthly. |
| Gemini Code Assist — Enterprise |
$0.06 |
per hour |
Annual billing rate. 12-month commitment term. Subscriptions are billed monthly. Features marked as 'Included |
| Gemini Code Assist — Enterprise |
$0.07 |
per hour |
Monthly billing rate. Monthly commitment term. Subscriptions are billed monthly. Features marked as 'Included |
Every price above was retrieved from the official vendor page. Plans without a published number are shown exactly as the vendor states them — never estimated.
How does hourly billing impact procurement?
Gemini Code Assist introduces a variable cost factor with rates ranging from $0.03 to $0.07 per hour. While subscriptions are billed monthly, the total cost is tied to the commitment term—either monthly or 12-month—and the chosen service level. This requires a different forecasting approach than traditional seat-based licenses.
What are the credit allotments in Copilot plans?
GitHub Copilot’s fixed-price plans include specific credit structures. The Pro, Pro+, and Max plans each provide a base credit amount equal to the monthly fee, plus an additional 'flex allotment.' This structure provides a buffer for usage within a capped monthly cost, which may be preferable for departments requiring strict budgetary control.
To determine if these tools pay back, leaders must look past the hourly or monthly cost and measure the net time saved against an established baseline. Measuring 'lines of code' is a vanity metric; the real value is found in the reduction of manual toil and accelerated sprint cycles. NetLift allows organizations to quantify this value by mapping AI spend directly to engineering output and cost-to-deliver, ensuring the adoption results in a positive net return.
Sources
All pricing on this page comes from official vendor pages: